{ "cells": [ { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Network Distance with LION map (weight)\n", "We will attempt to use networkx library with the lion map to calculate network distance for people walking between two points.\n", "What I learned:\n", "- weights need to be specified in order to calculate the right shortest_path\n", "- edges between nodes do not have have physical distance unless you specify the attribute in the edges" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "import geopandas as gpd\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import networkx as nx\n", "from shapely.geometry import box, LineString, Point,MultiPoint\n", "import os\n", "import sys\n", "import fiona\n", "import numpy as np\n", "\n", "sys.path.append(os.path.realpath('..'))" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1.8.4\n" ] } ], "source": [ "print(fiona.__version__)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2.3\n" ] } ], "source": [ "print(nx.__version__)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Lion" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "shp_file = r\"../intermediate_data/lion_gdf2012/lion_gdf2012.shp\"\n", "\n", "lion_shp = gpd.read_file(shp_file)\n", "lion_graph = nx.read_shp(shp_file, simplify=False)" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "G = lion_graph.to_undirected()\n", "nodeslist = list(G.nodes)\n", "G = nx.convert_node_labels_to_integers(G, first_label = 0)\n", "nodesnumlist = list(G.nodes)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Create a nodes geopandas dataframe so that we can extract the geometries later" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "node_df = pd.DataFrame(list(zip(nodesnumlist, nodeslist)), \n", " columns =['node_id', 'geometry'])" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "node_df['geometry'] = node_df['geometry'].apply(Point)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "node_gdf = gpd.GeoDataFrame(node_df, geometry='geometry')\n", "node_gdf.crs = {'init': 'epsg:4326'}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Examine the attributes of the edges. Locate the variable that gives the distance of the edge" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(0,\n", " 1,\n", " {'Street': 'EAST 168 STREET',\n", " 'SAFStreetN': None,\n", " 'FeatureTyp': '0',\n", " 'SegmentTyp': 'U',\n", " 'IncExFlag': None,\n", " 'RB_Layer': 'B',\n", " 'NonPed': None,\n", " 'TrafDir': 'T',\n", " 'TrafSrc': 'DOT',\n", " 'SpecAddr': None,\n", " 'FaceCode': '2510',\n", " 'SeqNum': '03070',\n", " 'StreetCode': '226700',\n", " 'SAFStreetC': None,\n", " 'LGC1': '01',\n", " 'LGC2': None,\n", " 'LGC3': None,\n", " 'LGC4': None,\n", " 'LGC5': None,\n", " 'LGC6': None,\n", " 'LGC7': None,\n", " 'LGC8': None,\n", " 'LGC9': None,\n", " 'BOE_LGC': '1',\n", " 'SegmentID': '0078126',\n", " 'SegCount': '1',\n", " 'LocStatus': 'X',\n", " 'LZip': '10456',\n", " 'RZip': '10456',\n", " 'LBoro': 2.0,\n", " 'RBoro': 2.0,\n", " 'L_CD': '203',\n", " 'R_CD': '203',\n", " 'LATOMICPOL': '401',\n", " 'RATOMICPOL': '101',\n", " 'LCT2010': '149',\n", " 'LCT2010Suf': None,\n", " 'RCT2010': '185',\n", " 'RCT2010Suf': None,\n", " 'LCB2010': '3001',\n", " 'LCB2010Suf': None,\n", " 'RCB2010': '2000',\n", " 'RCB2010Suf': None,\n", " 'LCT2000': '149',\n", " 'LCT2000Suf': None,\n", " 'RCT2000': '137',\n", " 'RCT2000Suf': None,\n", " 'LCB2000': '4000',\n", " 'LCB2000Suf': None,\n", " 'RCB2000': '1000',\n", " 'RCB2000Suf': None,\n", " 'LCT1990': '149',\n", " 'LCT1990Suf': None,\n", " 'RCT1990': '137',\n", " 'RCT1990Suf': None,\n", " 'LAssmDist': '79',\n", " 'LElectDist': '047',\n", " 'RAssmDist': '79',\n", " 'RElectDist': '050',\n", " 'SplitElect': None,\n", " 'LSchlDist': '09',\n", " 'RSchlDist': '09',\n", " 'SplitSchl': None,\n", " 'LSubSect': '1B',\n", " 'RSubSect': '1B',\n", " 'SanDistInd': None,\n", " 'MapFrom': '3D',\n", " 'MapTo': '3D',\n", " 'BoroBndry': None,\n", " 'MH_RI_Flag': None,\n", " 'XFrom': 1010964,\n", " 'YFrom': 241812,\n", " 'XTo': 1011304,\n", " 'YTo': 241537,\n", " 'ArcCenterX': 0,\n", " 'ArcCenterY': 0,\n", " 'CurveFlag': None,\n", " 'Radius': 0,\n", " 'NodeIDFrom': '0047740',\n", " 'NodeIDTo': '0047827',\n", " 'NodeLevelF': 'M',\n", " 'NodeLevelT': 'M',\n", " 'ConParity': None,\n", " 'Twisted': None,\n", " 'RW_TYPE': '1',\n", " 'PhysicalID': 35231.0,\n", " 'GenericID': 30694.0,\n", " 'NYPDID': None,\n", " 'FDNYID': None,\n", " 'LBlockFace': None,\n", " 'RBlockFace': None,\n", " 'LegacyID': '0078126',\n", " 'Status': '2',\n", " 'StreetWidt': None,\n", " 'StreetWi_1': None,\n", " 'BikeLane': None,\n", " 'FCC': None,\n", " 'ROW_Type': None,\n", " 'LLo_Hyphen': '599',\n", " 'LHi_Hyphen': '699',\n", " 'RLo_Hyphen': '596',\n", " 'RHi_Hyphen': '716',\n", " 'FromLeft': 599,\n", " 'ToLeft': 699,\n", " 'FromRight': 596,\n", " 'ToRight': 716,\n", " 'Join_ID': '2251001000000',\n", " 'SHAPE_Leng': 437.2820298731641,\n", " 'ShpName': 'lion_gdf2012',\n", " 'Wkb': b'\\x00\\x00\\x00\\x00\\x02\\x00\\x00\\x00\\x02\\xc0Ry\\xd2f\\xa8\\xb8=@DjI\\x08\\x7f\\xf2a\\xc0Ry\\xbeI\\xc4\\xba\\x9b@Dj0EZ\\x1a6',\n", " 'Wkt': 'LINESTRING (-73.90346685864 40.8303537964573,-73.9022392674619 40.8295981111482)',\n", " 'Json': '{ \"type\": \"LineString\", \"coordinates\": [ [ -73.903466858640016, 40.83035379645731 ], [ -73.902239267461866, 40.829598111148172 ] ] }'})" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "list(G.edges(data=True))[0]" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "node_id 174251\n", "geometry 174251\n", "dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "node_gdf.count()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "lion_shp.crs = {'init': 'epsg:4326'}\n", "node_gdf.crs = {'init': 'epsg:4326'}" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Network analysis!" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "orig_node = 30502\n", "target_node = 42603" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To calculate shortest path network distance, we have to specify the weight. Here weight is defined as `SHAPE_Leng` - the length provided by LION." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "If we do not specify the weight, we might get the longer path." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "route = nx.shortest_path(G=G, source=orig_node, target=target_node, weight = None)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "route_nodes = node_gdf.loc[route]\n", "route_line = LineString(list(route_nodes.geometry.values))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "subslide" } }, "source": [ "Make a geodataframe to store the data" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "route_geom = gpd.GeoDataFrame(crs=node_gdf.crs)\n", "route_geom['geometry'] = None\n", "route_geom['id'] = None" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Add the information into the geodataframe" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "route_geom.loc[0, 'geometry'] = route_line\n", "route_geom.loc[0, 'id'] = str(list(route_nodes['node_id'].values))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Specifying the weight as the length of the edge" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "slideshow": { "slide_type": "subslide" } }, "outputs": [], "source": [ "route = nx.shortest_path(G=G, source=orig_node, target=target_node, weight = 'SHAPE_Leng')" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Capture the route nodes and turn it into a `LineString`" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "route_nodes = node_gdf.loc[route]\n", "route_line = LineString(list(route_nodes.geometry.values))" ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "fragment" } }, "source": [ "Add the information into the geodataframe" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [], "source": [ "route_geom.loc[1, 'geometry'] = route_line\n", "route_geom.loc[1, 'id'] = str(list(route_nodes['node_id'].values))" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "route_geom.loc[[1],'geometry'].plot();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Printing the route/edge using the bbox of the route_geom" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "bounding_box = route_geom.envelope\n", "df = gpd.GeoDataFrame(gpd.GeoSeries(bounding_box), columns=['geometry'])" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "df['bbox'] = 1\n", "df.crs = {'init': 'epsg:4326'}" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "join_left_df = gpd.sjoin(lion_shp, df, how=\"left\")" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "join_left_df.loc[join_left_df['bbox'] == 1].plot(figsize = (10,10))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Overlaying the route on top of the edge lines" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "base = join_left_df.loc[join_left_df['bbox'] == 1].plot(figsize = (10,10), color = 'lightblue')\n", "#route_geom.plot(ax=base, color='red');\n", "route_geom.loc[[0],'geometry'].plot(ax=base, color='green');\n", "route_geom.loc[[1],'geometry'].plot(ax=base, color='red');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The green route was selected by networkx when no weights was specified. The red route was selected by networkx with the weights specified as length. " ] } ], "metadata": { "celltoolbar": "Slideshow", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 2 }